Honestly, I just want to know what people think of some data fitting I’ve been doing. Simply given two sets of points (xc,thiscp) and (xc1,thiscp1), I’ve managed to come up with the following piece of code:
xclip = xc(~isnan(xc));
[vals Iclip]=unique(xclip,’first’);
%

xcnew = unique(xclip);
cs = pchip(xcnew,thiscp(Iclip));
for n = 1:length(cs.coefs(:,1))
fun = @(x) cs.coefs(n,1)*(x-cs.breaks(n)).^3+cs.coefs(n,2)*(x-cs.breaks(n)).^2+cs.coefs(n,3)*(x-cs.breaks(n))+cs.coefs(n,4);
int = integral(fun,cs.breaks(n),cs.breaks(n+1));
int2(n)=int;
end

xclip1 = xc1(~isnan(xc1));
[vals Iclip1]=unique(xclip1,’first’);

xcnew1 = unique(xclip1);
cs2 = pchip(xcnew1,thiscp1(Iclip1));
for n = 1:length(cs2.coefs(:,1))
fun1 = @(x) cs2.coefs(n,1)*(x-cs2.breaks(n)).^3+cs2.coefs(n,2)*(x-cs2.breaks(n)).^2+cs2.coefs(n,3)*(x-cs2.breaks(n))+cs2.coefs(n,4);
int1 = integral(fun1,cs2.breaks(n),cs2.breaks(n+1));
int3(n)=int1;
end

intall = abs(sum(int2,’all’)-sum(int3,’all’))
This is one of the several methods I’ve devised to evaluate the area between two curves drawn by each set of data points. Currently, I am experiencing some inconsistencies when my data points are greatly vertically spaced – I am wondering if there is any way to remedy this. I am also curious as to how accurate this method is, and need some more experienced minds to comment. Thanks!Honestly, I just want to know what people think of some data fitting I’ve been doing. Simply given two sets of points (xc,thiscp) and (xc1,thiscp1), I’ve managed to come up with the following piece of code:
xclip = xc(~isnan(xc));
[vals Iclip]=unique(xclip,’first’);
%

xcnew = unique(xclip);
cs = pchip(xcnew,thiscp(Iclip));
for n = 1:length(cs.coefs(:,1))
fun = @(x) cs.coefs(n,1)*(x-cs.breaks(n)).^3+cs.coefs(n,2)*(x-cs.breaks(n)).^2+cs.coefs(n,3)*(x-cs.breaks(n))+cs.coefs(n,4);
int = integral(fun,cs.breaks(n),cs.breaks(n+1));
int2(n)=int;
end

xclip1 = xc1(~isnan(xc1));
[vals Iclip1]=unique(xclip1,’first’);

xcnew1 = unique(xclip1);
cs2 = pchip(xcnew1,thiscp1(Iclip1));
for n = 1:length(cs2.coefs(:,1))
fun1 = @(x) cs2.coefs(n,1)*(x-cs2.breaks(n)).^3+cs2.coefs(n,2)*(x-cs2.breaks(n)).^2+cs2.coefs(n,3)*(x-cs2.breaks(n))+cs2.coefs(n,4);
int1 = integral(fun1,cs2.breaks(n),cs2.breaks(n+1));
int3(n)=int1;
end

intall = abs(sum(int2,’all’)-sum(int3,’all’))
This is one of the several methods I’ve devised to evaluate the area between two curves drawn by each set of data points. Currently, I am experiencing some inconsistencies when my data points are greatly vertically spaced – I am wondering if there is any way to remedy this. I am also curious as to how accurate this method is, and need some more experienced minds to comment. Thanks! Honestly, I just want to know what people think of some data fitting I’ve been doing. Simply given two sets of points (xc,thiscp) and (xc1,thiscp1), I’ve managed to come up with the following piece of code:
xclip = xc(~isnan(xc));
[vals Iclip]=unique(xclip,’first’);
%

xcnew = unique(xclip);
cs = pchip(xcnew,thiscp(Iclip));
for n = 1:length(cs.coefs(:,1))
fun = @(x) cs.coefs(n,1)*(x-cs.breaks(n)).^3+cs.coefs(n,2)*(x-cs.breaks(n)).^2+cs.coefs(n,3)*(x-cs.breaks(n))+cs.coefs(n,4);
int = integral(fun,cs.breaks(n),cs.breaks(n+1));
int2(n)=int;
end

xclip1 = xc1(~isnan(xc1));
[vals Iclip1]=unique(xclip1,’first’);

xcnew1 = unique(xclip1);
cs2 = pchip(xcnew1,thiscp1(Iclip1));
for n = 1:length(cs2.coefs(:,1))
fun1 = @(x) cs2.coefs(n,1)*(x-cs2.breaks(n)).^3+cs2.coefs(n,2)*(x-cs2.breaks(n)).^2+cs2.coefs(n,3)*(x-cs2.breaks(n))+cs2.coefs(n,4);
int1 = integral(fun1,cs2.breaks(n),cs2.breaks(n+1));
int3(n)=int1;
end

intall = abs(sum(int2,’all’)-sum(int3,’all’))
This is one of the several methods I’ve devised to evaluate the area between two curves drawn by each set of data points. Currently, I am experiencing some inconsistencies when my data points are greatly vertically spaced – I am wondering if there is any way to remedy this. I am also curious as to how accurate this method is, and need some more experienced minds to comment. Thanks! spline, interpolation, raw data, aerospace MATLAB Answers — New Questions

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I am trying to prepare an application (prepared in App Designer and connected to a Simulink model) to be packaged as a standalone executable.
My Simulink model is fairly simple: using Interpreted MATLAB function blocks as input and output to an s-function block (which is connected to a much larger and complicated external model).
In order to create a standalone executable for an application connected to a Simulink model, I found that I have to use Simulink Compiler, which does not support Interpreted MATLAB functions, so I am trying to convert their functionality to MATLAB function blocks.
As it turns out, MATLAB function blocks are further subject to code generation limitations, which exclude try/catch statements. These try/catch statements are primarily used to catch and pass error code or correct user input with instructions, which is a core functionality of deploying a proprietary application in industry.
Therefore, I was wondering if there are any alternatives to try/catch statements that are supported by code generation? I could not find any simple fix in the documentation. Are there any options besides coding in more input validation?

Thanks!I am trying to prepare an application (prepared in App Designer and connected to a Simulink model) to be packaged as a standalone executable.
My Simulink model is fairly simple: using Interpreted MATLAB function blocks as input and output to an s-function block (which is connected to a much larger and complicated external model).
In order to create a standalone executable for an application connected to a Simulink model, I found that I have to use Simulink Compiler, which does not support Interpreted MATLAB functions, so I am trying to convert their functionality to MATLAB function blocks.
As it turns out, MATLAB function blocks are further subject to code generation limitations, which exclude try/catch statements. These try/catch statements are primarily used to catch and pass error code or correct user input with instructions, which is a core functionality of deploying a proprietary application in industry.
Therefore, I was wondering if there are any alternatives to try/catch statements that are supported by code generation? I could not find any simple fix in the documentation. Are there any options besides coding in more input validation?

Thanks! I am trying to prepare an application (prepared in App Designer and connected to a Simulink model) to be packaged as a standalone executable.
My Simulink model is fairly simple: using Interpreted MATLAB function blocks as input and output to an s-function block (which is connected to a much larger and complicated external model).
In order to create a standalone executable for an application connected to a Simulink model, I found that I have to use Simulink Compiler, which does not support Interpreted MATLAB functions, so I am trying to convert their functionality to MATLAB function blocks.
As it turns out, MATLAB function blocks are further subject to code generation limitations, which exclude try/catch statements. These try/catch statements are primarily used to catch and pass error code or correct user input with instructions, which is a core functionality of deploying a proprietary application in industry.
Therefore, I was wondering if there are any alternatives to try/catch statements that are supported by code generation? I could not find any simple fix in the documentation. Are there any options besides coding in more input validation?

Thanks! code generation, simulink, simulink compiler MATLAB Answers — New Questions

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I am working on a data acquisition program. Within that program, i need the following functionality:
1- start recording data on a raspberry pi
2- send a command that triggers an output voltage from the pi, some time after starting recording (say 0.25 sec).
I spoke with a matlab engineer who was totally unfamiliar with what I wanted to do. I don’t really care about the order. If issuing a command first that tells the pi to generate a trigger signal is easier that is easy to adjust the delay time, but the actual trigger has to start after the data collection starts. I’m not really running 2 scripts just 2 commands and I’d like them to be able to run non-sequentially, or parallel.

I don’t really even know enough to ask Mathworks the right question. Any guideance would be helpful.I am working on a data acquisition program. Within that program, i need the following functionality:
1- start recording data on a raspberry pi
2- send a command that triggers an output voltage from the pi, some time after starting recording (say 0.25 sec).
I spoke with a matlab engineer who was totally unfamiliar with what I wanted to do. I don’t really care about the order. If issuing a command first that tells the pi to generate a trigger signal is easier that is easy to adjust the delay time, but the actual trigger has to start after the data collection starts. I’m not really running 2 scripts just 2 commands and I’d like them to be able to run non-sequentially, or parallel.

I don’t really even know enough to ask Mathworks the right question. Any guideance would be helpful. I am working on a data acquisition program. Within that program, i need the following functionality:
1- start recording data on a raspberry pi
2- send a command that triggers an output voltage from the pi, some time after starting recording (say 0.25 sec).
I spoke with a matlab engineer who was totally unfamiliar with what I wanted to do. I don’t really care about the order. If issuing a command first that tells the pi to generate a trigger signal is easier that is easy to adjust the delay time, but the actual trigger has to start after the data collection starts. I’m not really running 2 scripts just 2 commands and I’d like them to be able to run non-sequentially, or parallel.

I don’t really even know enough to ask Mathworks the right question. Any guideance would be helpful. 2 commands, parallel computing MATLAB Answers — New Questions

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How do i check for empty cells within list? I have a list of cells, namelist, and it has 12 values, i need to check if some of the cells are empty. ThanksHow do i check for empty cells within list? I have a list of cells, namelist, and it has 12 values, i need to check if some of the cells are empty. Thanks How do i check for empty cells within list? I have a list of cells, namelist, and it has 12 values, i need to check if some of the cells are empty. Thanks empty, cell MATLAB Answers — New Questions

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Hi. How can I take a last term of a vector – since my vector dimensions change -, and plug it in somewhere else in my code without keep changing the code?

for example right now I do v(6) to get the 6th term. How can I do it for nth term…. ThanksHi. How can I take a last term of a vector – since my vector dimensions change -, and plug it in somewhere else in my code without keep changing the code?

for example right now I do v(6) to get the 6th term. How can I do it for nth term…. Thanks Hi. How can I take a last term of a vector – since my vector dimensions change -, and plug it in somewhere else in my code without keep changing the code?

for example right now I do v(6) to get the 6th term. How can I do it for nth term…. Thanks last term of a vector with n rows MATLAB Answers — New Questions

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I’m trying to use Matlab and UE4 together. I strictly follow this tutorial, however, in step 6 I get a compilation error
fatal error C1189: #error: Using MATLAB Data API with C Matrix API is not supported.
that points to the MDArray.hpp file. Please tell me how I can fix this.
(Matlab R2022b, UE4.26, Visual Studio 2019)I’m trying to use Matlab and UE4 together. I strictly follow this tutorial, however, in step 6 I get a compilation error
fatal error C1189: #error: Using MATLAB Data API with C Matrix API is not supported.
that points to the MDArray.hpp file. Please tell me how I can fix this.
(Matlab R2022b, UE4.26, Visual Studio 2019) I’m trying to use Matlab and UE4 together. I strictly follow this tutorial, however, in step 6 I get a compilation error
fatal error C1189: #error: Using MATLAB Data API with C Matrix API is not supported.
that points to the MDArray.hpp file. Please tell me how I can fix this.
(Matlab R2022b, UE4.26, Visual Studio 2019) aerospace blockset, unreal engine MATLAB Answers — New Questions

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I would like to trigger actions in my App Designer app based on Speedgoat target events, for example, when the target is connected, or the real-time application is loaded, started, stopped, etc.
How do I accomplish this for my Simulink Real-Time (SLRT) App?I would like to trigger actions in my App Designer app based on Speedgoat target events, for example, when the target is connected, or the real-time application is loaded, started, stopped, etc.
How do I accomplish this for my Simulink Real-Time (SLRT) App? I would like to trigger actions in my App Designer app based on Speedgoat target events, for example, when the target is connected, or the real-time application is loaded, started, stopped, etc.
How do I accomplish this for my Simulink Real-Time (SLRT) App? slrt, app, event.listener, listener, addlistener, events MATLAB Answers — New Questions

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I’m working on a final project of processing the EEG signal from a 24-day-old infant. The data file is in .edf format, and I’ve extracted and plotted it as a time series. You can find the data file here: https://file.io/3fWPetZYclsH.
The project’s requirements are:
Analyze the data to identify signal and noises.
Design filters to eliminate the DC component, Electricity noise, and others (if contaminated).
My first approach was to use the power spectral density (PSD), but this idea was rejected as my professor wanted us to use more fundamental algorithms like DFT of Hibert-Huang Transform (HHT). Another problem with my prior work was that my filtered data lost all of the data after a a specific frequency, which my professor attributed to using a ‘second-order’ filter. Below is my attempt on creating the filters. The two tasks i need help is:
Use DFT and/or HHT to identify signal and noises. It is strictly required to identify where the noises are.
Designing filters that effectively eliminate noise without losing essential data points.
I’d appreciate any guidance from anyone. Thank you in advance for your assistance!
def highpass_filter(data, sfreq, cutoff=0.5):
nyquist = 0.5 * sfreq
normal_cutoff = cutoff / nyquist
b, a = butter(1, normal_cutoff, btype=’high’, analog=False)
return filtfilt(b, a, data)

def notch_filter(data, sfreq, freq=50.0, quality=30.0):
nyquist = 0.5 * sfreq
notch_freq = freq / nyquist
b, a = iirnotch(notch_freq, quality)
return filtfilt(b, a, data)

def bandpass_filter(data, sfreq, lowcut=0.5, highcut=8.0):
nyquist = 0.5 * sfreq
low = lowcut / nyquist
high = highcut / nyquist
b, a = butter(1, [low, high], btype=’band’)
return filtfilt(b, a, data)I’m working on a final project of processing the EEG signal from a 24-day-old infant. The data file is in .edf format, and I’ve extracted and plotted it as a time series. You can find the data file here: https://file.io/3fWPetZYclsH.
The project’s requirements are:
Analyze the data to identify signal and noises.
Design filters to eliminate the DC component, Electricity noise, and others (if contaminated).
My first approach was to use the power spectral density (PSD), but this idea was rejected as my professor wanted us to use more fundamental algorithms like DFT of Hibert-Huang Transform (HHT). Another problem with my prior work was that my filtered data lost all of the data after a a specific frequency, which my professor attributed to using a ‘second-order’ filter. Below is my attempt on creating the filters. The two tasks i need help is:
Use DFT and/or HHT to identify signal and noises. It is strictly required to identify where the noises are.
Designing filters that effectively eliminate noise without losing essential data points.
I’d appreciate any guidance from anyone. Thank you in advance for your assistance!
def highpass_filter(data, sfreq, cutoff=0.5):
nyquist = 0.5 * sfreq
normal_cutoff = cutoff / nyquist
b, a = butter(1, normal_cutoff, btype=’high’, analog=False)
return filtfilt(b, a, data)

def notch_filter(data, sfreq, freq=50.0, quality=30.0):
nyquist = 0.5 * sfreq
notch_freq = freq / nyquist
b, a = iirnotch(notch_freq, quality)
return filtfilt(b, a, data)

def bandpass_filter(data, sfreq, lowcut=0.5, highcut=8.0):
nyquist = 0.5 * sfreq
low = lowcut / nyquist
high = highcut / nyquist
b, a = butter(1, [low, high], btype=’band’)
return filtfilt(b, a, data) I’m working on a final project of processing the EEG signal from a 24-day-old infant. The data file is in .edf format, and I’ve extracted and plotted it as a time series. You can find the data file here: https://file.io/3fWPetZYclsH.
The project’s requirements are:
Analyze the data to identify signal and noises.
Design filters to eliminate the DC component, Electricity noise, and others (if contaminated).
My first approach was to use the power spectral density (PSD), but this idea was rejected as my professor wanted us to use more fundamental algorithms like DFT of Hibert-Huang Transform (HHT). Another problem with my prior work was that my filtered data lost all of the data after a a specific frequency, which my professor attributed to using a ‘second-order’ filter. Below is my attempt on creating the filters. The two tasks i need help is:
Use DFT and/or HHT to identify signal and noises. It is strictly required to identify where the noises are.
Designing filters that effectively eliminate noise without losing essential data points.
I’d appreciate any guidance from anyone. Thank you in advance for your assistance!
def highpass_filter(data, sfreq, cutoff=0.5):
nyquist = 0.5 * sfreq
normal_cutoff = cutoff / nyquist
b, a = butter(1, normal_cutoff, btype=’high’, analog=False)
return filtfilt(b, a, data)

def notch_filter(data, sfreq, freq=50.0, quality=30.0):
nyquist = 0.5 * sfreq
notch_freq = freq / nyquist
b, a = iirnotch(notch_freq, quality)
return filtfilt(b, a, data)

def bandpass_filter(data, sfreq, lowcut=0.5, highcut=8.0):
nyquist = 0.5 * sfreq
low = lowcut / nyquist
high = highcut / nyquist
b, a = butter(1, [low, high], btype=’band’)
return filtfilt(b, a, data) signal processing, fft, dft, hht, filter, medical, eeg, homework MATLAB Answers — New Questions

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do the simulink program can simulate the voltage exceed grid code when solar pv is connected to grid? pls helpdo the simulink program can simulate the voltage exceed grid code when solar pv is connected to grid? pls help do the simulink program can simulate the voltage exceed grid code when solar pv is connected to grid? pls help simulink MATLAB Answers — New Questions

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I have the following ODE solution:
N = 100;
m = 0.1*ones(N,1);
c = 0.1;
b = 0.1;
k = 4;
gamma = 0.1;
X0 = zeros(2*N, 1);
dt = 0.91; % [s]
scale = 0.0049/2;
epsilon = 0.5; % [m]
escale = 10^-2;
rd = 1;
f = @(t,rd) rd.*scale.*square(t) + epsilon.*escale; % [N]
fun = @(t, X) odefun(t, rd, X, N, marray(m), make_diagonal(X,c,b,N),…
make_diagonal(X, k, gamma, N),f);
tspan_train = [0:dt:100];
[t, X] = ode45(fun, tspan_train, X0);
function dX = odefun(t, rd, X, N, M, C, K, f)
%% Definitions
x = X(1:N); % position state vector
dx = X(N+1:2*N); % velocity state vector
%% Force vector
f_reservoir = f(t,rd);
F = [f_reservoir; zeros(98,1); f_reservoir];
%% Equations of Motion
ddx = M(F – K*x – C*dx);

%% State-space model
dX = [dx; …
ddx];
end
function out = make_diagonal(x, k, gamma, N)
x = x(:);
x = [x(1:N); 0];
ck = circshift(k, -1);
cg = circshift(gamma, -1);
cx = circshift(x, -1);
ccx = circshift(x, 1);
d1 = -3 .* ck .* cg .* cx .^ 2 – ck;
d2 = (k .* gamma + ck .* cg) .* x .^ 2 + k + ck;
d3 = -3 .* k .* ccx .^ 2 – k;
out = full(spdiags([d1 d2 d3], -1:1, N, N));
end
function M = marray(m)
M = diag(m);
end
I would like to change my input force f in Newtons to an input displacement in meters. How do I do this?I have the following ODE solution:
N = 100;
m = 0.1*ones(N,1);
c = 0.1;
b = 0.1;
k = 4;
gamma = 0.1;
X0 = zeros(2*N, 1);
dt = 0.91; % [s]
scale = 0.0049/2;
epsilon = 0.5; % [m]
escale = 10^-2;
rd = 1;
f = @(t,rd) rd.*scale.*square(t) + epsilon.*escale; % [N]
fun = @(t, X) odefun(t, rd, X, N, marray(m), make_diagonal(X,c,b,N),…
make_diagonal(X, k, gamma, N),f);
tspan_train = [0:dt:100];
[t, X] = ode45(fun, tspan_train, X0);
function dX = odefun(t, rd, X, N, M, C, K, f)
%% Definitions
x = X(1:N); % position state vector
dx = X(N+1:2*N); % velocity state vector
%% Force vector
f_reservoir = f(t,rd);
F = [f_reservoir; zeros(98,1); f_reservoir];
%% Equations of Motion
ddx = M(F – K*x – C*dx);

%% State-space model
dX = [dx; …
ddx];
end
function out = make_diagonal(x, k, gamma, N)
x = x(:);
x = [x(1:N); 0];
ck = circshift(k, -1);
cg = circshift(gamma, -1);
cx = circshift(x, -1);
ccx = circshift(x, 1);
d1 = -3 .* ck .* cg .* cx .^ 2 – ck;
d2 = (k .* gamma + ck .* cg) .* x .^ 2 + k + ck;
d3 = -3 .* k .* ccx .^ 2 – k;
out = full(spdiags([d1 d2 d3], -1:1, N, N));
end
function M = marray(m)
M = diag(m);
end
I would like to change my input force f in Newtons to an input displacement in meters. How do I do this? I have the following ODE solution:
N = 100;
m = 0.1*ones(N,1);
c = 0.1;
b = 0.1;
k = 4;
gamma = 0.1;
X0 = zeros(2*N, 1);
dt = 0.91; % [s]
scale = 0.0049/2;
epsilon = 0.5; % [m]
escale = 10^-2;
rd = 1;
f = @(t,rd) rd.*scale.*square(t) + epsilon.*escale; % [N]
fun = @(t, X) odefun(t, rd, X, N, marray(m), make_diagonal(X,c,b,N),…
make_diagonal(X, k, gamma, N),f);
tspan_train = [0:dt:100];
[t, X] = ode45(fun, tspan_train, X0);
function dX = odefun(t, rd, X, N, M, C, K, f)
%% Definitions
x = X(1:N); % position state vector
dx = X(N+1:2*N); % velocity state vector
%% Force vector
f_reservoir = f(t,rd);
F = [f_reservoir; zeros(98,1); f_reservoir];
%% Equations of Motion
ddx = M(F – K*x – C*dx);

%% State-space model
dX = [dx; …
ddx];
end
function out = make_diagonal(x, k, gamma, N)
x = x(:);
x = [x(1:N); 0];
ck = circshift(k, -1);
cg = circshift(gamma, -1);
cx = circshift(x, -1);
ccx = circshift(x, 1);
d1 = -3 .* ck .* cg .* cx .^ 2 – ck;
d2 = (k .* gamma + ck .* cg) .* x .^ 2 + k + ck;
d3 = -3 .* k .* ccx .^ 2 – k;
out = full(spdiags([d1 d2 d3], -1:1, N, N));
end
function M = marray(m)
M = diag(m);
end
I would like to change my input force f in Newtons to an input displacement in meters. How do I do this? ode, ode45, model, solve, fsolve, function MATLAB Answers — New Questions

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